Applications of Signal Analysis to Atrial Fibrillation

Rieta, J.J.; Alcaraz, Raúl

doi:10.5772/53409

Atrial Fibrillation - Mechanisms and Treatment 2013

DOI: 10.5772/53409

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Applications of Signal Analysis to Atrial Fibrillation

J.J. Rieta¹,

Raúl Alcaraz²

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2014

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Cited by 1 publication

References 73 publications

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Classification of atrial fibrillation episodes using short ECG segments

Ortigosa

Andrs

et al. 2014

IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)

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This paper presents a method to classify different subtypes of atrial fibrillation episodes by analyzing short segments of electrocardiograms. We will process surface ECGs segments by time-frequency transforms to extract relevant features that will be used as input to a neural network classifier. As atrial fibrillation presents a progressive nature, this method can be a very useful tool in order to differentiate the progress of the arrythmia in each patient.

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Classification of atrial fibrillation episodes using short ECG segments

Ortigosa

Andrs

et al. 2014

IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)

View full text Add to dashboard Cite

show abstract

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Applications of Signal Analysis to Atrial Fibrillation

Cited by 1 publication

References 73 publications

Classification of atrial fibrillation episodes using short ECG segments

Classification of atrial fibrillation episodes using short ECG segments

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